Amod K. Agrawal

Amazon Lab126. San Francisco Bay Area.

amod_agrawal_profile.png

SJC31,

1100 Discovey Way

Sunnyvale, California, 94089

United States

I am an Applied Scientist at Amazon Lab126, focusing on mobile computing, wireless sensing, edge intelligence, and their integration with Alexa's generative AI models. I specialize in sensing technologies with applications in smart home automation, through proximity-based interactions and real-time indoor localization.

As a founding member of the team developing Alexa’s spatial awareness capabilities, my work enables AI systems to interpret physical presence and spatial context, offering novel context-aware interactions in real-world applications.

I also serve as Vice-Chair and Contributor of the Proximity Ranging Tiger Team at the Connectivity Standards Alliance (CSA), where I help bring spatial intelligence to the Matter ecosystem. Working with industry partners, we offer proximity detection, wireless ranging, and localization through standardized and interoperable methods across connected devices throughout the industry.

Prior to Amazon, I was a graduate student at the University of Illinois at Urbana-Champaign (UIUC), advised by Prof. Romit Roy Choudhury. My Thesis (2019) focused on problems in mobile and wearable computing, wireless sensing, user tracking, and indoor localization.

Previously, I received my Bachelors (2017) in Computer Science and Engineering from IIIT-Delhi, where I worked on problems in mobile computing and collaborative sensing in online networks, advised by Prof. Vinayak Naik and Prof. Ponnurangam Kumaraguru.

Over the past decade, I have had the opportunity to have affiliations and collaborations with multiple research organizations, including Microsoft Research, IBM Research, Xerox Research, ETH-Zurich, Signals and Inference Research Group (SiNRG @ UIUC), PreCog Research Group (PreCog @ IIIT-Delhi), RSA Security, and Mobile and Ubiquitous Computing Group (MUC @ IIIT-Delhi).

Research interests: Mobile and Wearable Computing, Indoor Localization, Wireless and RF Sensing, Edge Computing, Applied AI, and Applications of Machine Learning in the context of Internet-of-Things (IoT).

Email / Google Scholar / LinkedIn / Semantic Scholar / ORCID / CV


Applied Scientist
Amazon Lab126
Indoor Localization
& Wireless Sensing
2019 —
Vice-Chair and Contributor
Proximity Ranging Tiger Team
Connectivity Standards Alliance
2025 —
M.S., Computer Science
University of Illinois,
Urbana-Champaign

2017 — 2019
Intern
Amazon Lab126
HW Device Tracking
Summer 2018
Researcher
Signals and Inference Research (SiNRG), CSL
2017 — 2019
Research Intern
Mobility, Networks, and Systems, MSR India
May 2016 — Aug 2017
Researcher
PreCog Research,
IIIT-Delhi
2015 — 2017
Research Intern
IBM Research
Data Analytics
Summer 2015
B. Tech., Computer Science & Engineering
IIIT-Delhi
2013 — 2017

Applied Scientist
Amazon Lab126
Indoor Localization & Wireless Sensing
2019 —

Vice-Chair and Contributor, Proximity Ranging Tiger Team
Connectivity Standards Alliance
2025 —

M.S., Computer Science
University of Illinois, Urbana-Champaign
2017 — 2019

Intern
Amazon Lab126
HW Device Tracking
Summer 2018

Researcher
Signals and Inference Research (SiNRG), CSL
2017 — 2019

Research Intern
Mobility, Networks, and Systems, MSR India
May 2016 — Aug 2017

Researcher
PreCog Research, IIIT-Delhi
2015 — 2017

Research Intern
IBM Research
Data Analytics
Summer 2015

B. Tech., Computer Science & Engineering
IIIT-Delhi
2013 — 2017